美国COVID-19流行病监测的多层次质量评估
Megan S Irgens1, Riley M O'Neill2, John M Ruiz2
1Juvenile Justice Behavioral Health Lab, Division of Infant, Child, and Adolescent Psychiatry, Zuckerberg San Francisco General Hospital, University of California San Francisco, San Francisco, California, United States of America.
PloS one
|February 21, 2025
概括
针对2019年新冠肺炎疾病 (COVID-19) 的公共卫生数据质量在美国各州有很大差异. 随着时间的推移,人们注意到了改善,但报告和数据完整性的不一致性仍然存在,影响了公众的信任.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 健康 数据科学 数据科学
背景情况:
- 随着COVID-19的爆发,人们越来越需要强有力的公共卫生监测.
- 没有先前的国家评估评估了美国公共COVID-19数据报告的质量.
研究的目的:
- 评估美国卫生部门报告的COVID-19流行病监测数据的质量.
- 识别五个维度数据质量的变化:及时性,可靠性,完整性,准确性和可访问性.
主要方法:
- 从50个州和华盛顿特区的卫生部门审查了COVID-19监测数据 (2020年7月至8月).
- 评估了五个数据质量维度,并将州数据与CDC报告进行了比较.
- 在19个月后对部分州进行了后续评估.
主要成果:
- 在各州的COVID-19数据报告质量中观察到显著的异质性.
- 大多数州缺乏数据源透明度;没有一个州报告了所有10个标准的CDC监测变量.
- 州和CDC报告的病例和死亡人数之间的差异很常见.
结论:
- 需要正式的报告准则和标准化定义来提高数据质量.
- 加强数据源验证和完整性对于公众信任和疾病缓解至关重要.
- 未来的努力应集中在提高公共卫生数据的可靠性和可访问性.
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